Martín Farach-Colton
Portrait of Martín Farach-Colton

Martín Farach‑Colton

Leonard J. Shustek Professor of Computer Science
Chair, Department of Computer Science and Engineering
Tandon School of Engineering, New York University

About

I am the Leonard J. Shustek Professor of Computer Science and Chair of the Department of Computer Science and Engineering at NYU’s Tandon School of Engineering, and an affiliated faculty member of the NYU Center for Data Science. I lead a research group working on algorithms and data structures and their use in real systems: storage and file systems, memory hierarchies, hashing and filters, and computational biology.

Before NYU, I spent nearly thirty years on the faculty at Rutgers, most recently as Distinguished Professor of Computer Science, after a postdoc at DIMACS. I have worked in industry at Bell Labs and as a Senior Research Scientist at Google, and I was the founder and CTO of Tokutek, whose Fractal Tree indexing technology, built on my research on cache-oblivious and write-optimized data structures, was acquired by Percona. I am Editor-in-Chief of ACM Transactions on Parallel Computing.

I received an M.D. from the Johns Hopkins School of Medicine and a Ph.D. in computer science from the University of Maryland, College Park.

Personal

I train in Brazilian jiu-jitsu: I won a bronze medal at the 2015 IBJJF World Master Championship and received my black belt from Russell Kerr in 2018.

Outside of research, I have served on many nonprofit boards, most of them supporting LGBTQ youth:

2025
Luminary Award for service to the Ali Forney Center
2020–22
The Trevor Project, Board of Directors
2016–18
Transgender Legal Defense and Education Fund, Board of Directors; Development Committee Chair
2016–18
Johns Hopkins Center for Talented Youth, Board of Advisors
2013–20
Ali Forney Center, Board of Directors; Nominating and Board Governance Committee Chair
2008–14
Lambda Legal, Board of Directors; Development and Board Governance Committee Co-Chair

Research Interests

Research Group

Current Ph.D. Students

Graduated Ph.D. Students

Postdoctoral Fellows

Research Funding

I have been principal investigator on more than twenty research grants from the National Science Foundation, the Department of Energy, the Sloan Foundation, and other sponsors, including an NSF CAREER Award, and co-PI on grants from NSF and NIH. Current and recent grants:

2026–30
Co-PI, NSF: Graph-based Vector Databases, from Theory to Practice
2023–26
PI, NSF: Algorithmic Performance through History Independence
2021–24
PI, NSF: Adventures in Flatland: Algorithms for Modern Memories
2019–21
PI, NSF: FTFS: A Read/Write-Optimized Fractal Tree File System (accomplishment-based renewal)
2017–20
PI, NSF: The Dictionary Problem Reconsidered
2016–20
PI, NSF: Theory and Implementation of Dynamic Data Structures for the GPU
2015–18
Co-PI, NIH: Meaningful Data Compression and Reduction of High-Throughput Sequencing Data
2013–16
PI, NSF BIGDATA: Eliminating the Data Ingestion Bottleneck in Big-Data Applications

Full list of grants in CV →

Honors

2025
Richard M. Karp Distinguished Lecture, Simons Institute for the Theory of Computing
2024
Fellow, AAAS
2023
Member, Academia Nacional de Ciencias Exactas, Físicas y Naturales (Argentina)
2022
Fellow, IEEE
2021
Fellow, ACM
2021
Fellow, SIAM
2016
NetApp Faculty Fellow
2013
Distinguished Alumnus, University of Maryland Department of Computer Science
1996
Alfred P. Sloan Research Fellowship
1995
NSF CAREER Award

Paper Awards

2026
SPAA Outstanding Paper Award
2025
SPAA Distinguished Paper Award
2024
PODS Best Paper Award; ACM SIGMOD Research Highlight Award
2023
ASPLOS Distinguished Paper Award; IEEE Micro Top Picks
2016
FAST Best Paper Award
2012
LATIN Imre Simon Test-of-Time Award

Selected Publications

  1. The Local/Global Disk Problem: How to Use Shared High-Bandwidth Storage Economically M. A. Bender, P. Bille, M. Farach-Colton, J. Fineman, I. Gørtz, M. T. Goodrich, H. Komlós, B. C. Kuszmaul, W. Kuszmaul, R. Silver, T. Veldhuizen, R. Zhou SPAA 2026 Outstanding Paper
  2. Don’t Melt Your Cache: Low-Associativity with Heat-Sink M. A. Bender, A. Conway, D. DeLayo, M. Farach-Colton, J. Han, R. Johnson, W. Kuszmaul, E. T. West SPAA 2025 Distinguished Paper
  3. Optimal Bounds for Open Addressing Without Reordering A. Krapivin, M. Farach-Colton, W. Kuszmaul FOCS 2024 · covered by Quanta and Wired
  4. Nearly Optimal List Labeling M. A. Bender, A. Conway, M. Farach-Colton, H. Komlós, M. Koucký, W. Kuszmaul, M. Saks FOCS 2024 · covered by Quanta and Wired
  5. History-Independent Dynamic Partitioning: Operation-Order Privacy in Ordered Data Structures M. A. Bender, M. Farach-Colton, M. T. Goodrich, H. Komlós PODS 2024 Best Paper
  6. Mosaic Pages: Big TLB Reach with Small Pages K. Gosakan, J. Han, W. Kuszmaul, I. Mubarek, N. Mukherjee, G. Tagliavini, E. T. West, M. A. Bender, A. Bhattacharjee, A. Conway, M. Farach-Colton, J. Gandhi, R. Johnson, S. Kannan, D. E. Porter ASPLOS 2023 Distinguished Paper
  7. On the Optimal Time/Space Tradeoff for Hash Tables M. A. Bender, M. Farach-Colton, J. Kuszmaul, W. Kuszmaul, M. Liu STOC 2022 · covered by Quanta
  8. Optimizing Every Operation in a Write-Optimized File System J. Yuan, Y. Zhan, W. Jannen, P. Pandey, A. Akshintala, K. Chandnani, P. Deo, Z. Kasheff, L. Walsh, M. A. Bender, M. Farach-Colton, R. Johnson, B. C. Kuszmaul, D. E. Porter FAST 2016 Best Paper
  9. Cache-Oblivious B-Trees M. A. Bender, E. Demaine, M. Farach-Colton SIAM Journal on Computing, 2005 · FOCS 2000
  10. Finding Frequent Items in Data Streams M. Charikar, K. Chen, M. Farach-Colton Theoretical Computer Science, 2004 · ICALP 2002
  11. The LCA Problem Revisited M. A. Bender, M. Farach-Colton LATIN 2000 Test-of-Time Award
  12. Optimal Suffix Tree Construction with Large Alphabets M. Farach FOCS 1997

All publications →